Arumugam Sivasankar
Principal, Alpha Arts and Science College
Chennai, Tamil Nadu, India
ORCID: 0000-0003-1842-9684
E-mail: sivasankar_arumugam@yahoo.com
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https://doi.org/10.63711/ijdr.net20260304
ABSTRACT
Neuro-hacking, understood here as the deliberate application of neuroscience-informed techniques to regulate attention, memory formation and cognitive load, has begun to migrate from clinical and self-improvement contexts into mainstream higher-education pedagogy. This review synthesises evidence from five primary studies retrieved through a structured literature search, supplemented by nine additional peer-reviewed sources on blended learning and neuroeducation, to examine how neuro-hacking models can be embedded across online and face-to-face components of blended courses, and what effectiveness data currently support them. Three recurring model families are identified: technology-mediated brain monitoring (e.g., brain–computer interfaces, eye-tracking, neuro-feedback), brain-compatible pedagogical design (short task intervals, immediate feedback, multisensory cues), and cognitive training techniques (brain gymnastics, neuro-linguistic programming, spaced repetition). Across 1,109 undergraduate participants in technical disciplines, statistically significant gains of three to nine percentage points in academic performance were reported, although the most rigorous randomised design produced the smallest effect size, suggesting that weaker methodologies may inflate apparent benefits. The review concludes that blending is not incidental but functionally necessary: neuro-hacking techniques appear to work best when short, feedback-rich online activities are paired with face-to-face reinforcement rather than deployed in either modality alone. Implementation barriers, equity concerns and the risk of conflating neuroscience with popular neuromyths are discussed, and directions for methodologically stronger future research are proposed.
Keywords: Neuro-hacking, Blended learning, Neuroeducation, Brain-compatible learning, Cognitive load, Higher education.
Research Area: Neuroeducation, Blended Learning, Educational Neuroscience
Copyright © 2026 The Author(s). This article is licensed under CC BY 4.0.
